What are the main challenges in real-time log processing?
Some key challenges include data volume, latency, data quality, and integration with existing systems.
How can we handle high data volume effectively?
Implementing scalable architectures like distributed systems and using technologies like Apache Kafka can help.
What about ensuring data quality in real-time?
Data validation techniques and monitoring tools can be used to maintain data quality during processing.
Are there specific tools you recommend for real-time log processing?
Yes, tools like ELK Stack, Splunk, and Fluentd are popular for real-time log processing.
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